|
--- |
|
license: apache-2.0 |
|
base_model: studio-ousia/mluke-base |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: exp_mluke_base_auan |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# exp_mluke_base_auan |
|
|
|
This model is a fine-tuned version of [studio-ousia/mluke-base](https://huggingface.co/studio-ousia/mluke-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1706 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 2e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 16 |
|
- seed: 618 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 0.5369 | 0.9932 | 55 | 0.4464 | |
|
| 0.2825 | 1.9865 | 110 | 0.2670 | |
|
| 0.2248 | 2.9977 | 166 | 0.2278 | |
|
| 0.1797 | 3.9910 | 221 | 0.2210 | |
|
| 0.111 | 4.9842 | 276 | 0.1788 | |
|
| 0.1056 | 5.9955 | 332 | 0.1682 | |
|
| 0.0981 | 6.9887 | 387 | 0.1899 | |
|
| 0.0803 | 8.0 | 443 | 0.1720 | |
|
| 0.0768 | 8.9932 | 498 | 0.1572 | |
|
| 0.0504 | 9.9323 | 550 | 0.1706 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.1 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
